Literature DB >> 26319149

Mobile Monitoring Framework to Design Parameterized and Personalized m-Health Applications According to the Patient's Diseases.

Vladimir Villarreal1, Ramon Hervas, Jesus Fontecha, Jose Bravo.   

Abstract

The development of personalized mobile monitoring applications is a complex work. Currently, the most of applications for patients monitoring through mobile devices, is not developed considering the particular characteristics of each patient, but these applications have been developed taking into account a general behavior depending on the diseases instead of the own patients. The diseases manifest different symptoms depending on the patient situation. Mary and John (hypothetic patients) have diabetes, but the same measurement of glucose for each one affects their health in a different way. This paper describes a framework that allows the development of mobile applications, personalized for each patient, in such a way that even if they have the same disease, the application will respond to the individual needs of each patient.

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Year:  2015        PMID: 26319149     DOI: 10.1007/s10916-015-0324-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  1 in total

1.  Data mining for blood glucose prediction and knowledge discovery in diabetic patients: the METABO diabetes modeling and management system.

Authors:  Eleni Georga; Vasilios Protopappas; Alejandra Guillen; Giuseppe Fico; Diego Ardigo; Maria Teresa Arredondo; Themis P Exarchos; Demosthenes Polyzos; Dimitrios I Fotiadis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
  1 in total
  2 in total

1.  A Visualization System for Interactive Exploration of the Cardiac Anatomy.

Authors:  Lei Zhang; Kuanquan Wang; Fei Yang; Wenjing Lu; Kechao Wang; Yue Zhang; Xiaoqing Liang; Dongchen Han; Ying Julie Zhu
Journal:  J Med Syst       Date:  2016-04-20       Impact factor: 4.460

Review 2.  A Systematic Review for Mobile Monitoring Solutions in M-Health.

Authors:  Vladimir Villarreal; Ramón Hervás; José Bravo
Journal:  J Med Syst       Date:  2016-07-27       Impact factor: 4.460

  2 in total

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